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GLA University Online MBA Business Analytics

Oh No!! You're Missing The (FREE) Career Guidance
GLA University Online MBA Business Analytics
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About GLA University Online MBA Business Analytics

Introduction

GLA University provides an Online MBA in Business Analytics to create a future for the one who can make data-driven decisions. It is for those who desire to equip themselves with the ability to analyze, interpret, and take business decisions on the basis of data for real business issues. It is a UGC-entitled course, and thus, it is of national quality and authenticity standards. The curriculum integrates general management courses with modern methods of data analysis. Students are taught to collect, handle, and analyze large volumes of data in a manner through which valuable information can be obtained. This information will enable companies to enhance strategies, optimize profits, as well as remain competitive.

The program prepares professionals to work in roles like data analysts, marketing managers, or business consultants, where understanding data is crucial. It emphasizes practical skills, so students learn how to use tools like Excel, SQL, or analytics software to turn raw data into useful information.

This program is especially valuable because businesses today rely heavily on data to make smart decisions. Companies that use data well can respond faster to market changes and recognize new opportunities. Through this course, students will gain the ability to solve complex problems by transforming data into actionable insights. They will also develop their strategic thinking, leadership, and decision-making skills to lead teams and projects effectively.

Overall, the Online MBA in Business Analytics from GLA University combines solid management training with essential analytics skills. It prepares students not just to understand data but to use it as a powerful tool for driving business growth.

 

Program Highlights at a Glance

Key Aspect Batch Details
Degree Awarded MBA in Business Analytics
Batch Start Date July 10, 2025
Duration 2 Years (4 Semesters)
Approvals UGC, AICTE, NAAC A+
Learning Mode 100% Online with Interactive Labs
Total Credits 94
Examination Online Proctored + Practical Assignments
EMI Options Starting ₹4,500/month
Industry Partners 250+ Tech & Analytics Firms

Why Choose This Program?

  • Dual Advantage: MBA + Business Analytics Specialization
  • Hands-on Training: Python, R, Tableau, Power BI
  • Industry-Aligned Curriculum: Designed with IBM, TCS inputs
  • Flexible Learning: Study anytime, anywhere
  • Placement Record: 93% assistance in 2024 batch

Eligibility & Ideal Candidates

Who Can Apply?

  • Bachelor's degree (10+2+3) with 50% marks
  • Basic mathematics/statistics knowledge preferred
  • No entrance exam for  batch

Perfect For:

  • IT professionals transitioning to analytics
  • Business executives upskilling in data
  • Entrepreneurs needing data-driven decisions
  • Fresh graduates starting analytics careers

Program Investment

Fee Component Amount (INR) Early Bird Offer
Total Program Fee ₹ 1,65,000 ₹1,50,000 (till May 31)
Per Semester ₹ 41,250 ₹ 37,500
No-Cost EMI ₹4,500/month 0% interest

Financial Support:

  • Education loans from SBI, HDFC, ICICI
  • Fintech partners: Propelld, Eduvanz
  • Tax benefits under Section 80C

Specialization Highlights

  • Core Analytics Tools:
    • Python for Data Science
    • SQL & NoSQL Databases
    • Advanced Excel
  • Visualization Mastery:
    • Tableau
    • Power BI
    • Google Data Studio
  • Emerging Technologies:
    • Machine Learning Basics
    • AI in Business
    • Big Data Concepts

Admission Process 

The admission procedure for the GLA University MBA in Business analytics course is easy and hassle-free.The whole process is efficient, fast and easy for students so they can avoid the lengthy process and focus on their goals. First, potential students are required to complete an online application form that can be found on the GLA University official website. This application form collects personal information, educational history and contact information so the university has all the information necessary to efficiently process the student application.

After submitting your application form, candidates must also upload certain documents to be verified. This is important because this ensures the eligibility of every candidate and makes the admissions process much easier. The main documents to upload includes the scanned copy of your degree certificate, which proves your education in order to assess whether you meet the minimum entry requirements stated for the MBA program. In conjunction with this, you also need some valid ID proof e.g., an Aadhar card, driver's license, or voter ID to verify your identity.

Students have to submit a latest passport-sized photo with the application. This is for official documentation and identification, allowing university staff to identify and communicate with students quickly throughout their time as a student. Also included in the application is the expectation for students to pay the first fee installment for the program. The first installment means the confirmation of a student's intention to attend the program and a confirmed seat in the class. Students have the option to pay online or by credit or debit card or other secure electronic methods also. 

When all application documents have been submitted, and there will be confirmation of your first installment fee, students will be able to log into the Learning Management System (LMS). The University guarantees that all students will receive LMS login details within 24 hours of submitting all documents or payment. All students will receive immediate access to course content; learning materials; announcements; and online communication for virtual classes through the Learning Management System. The LMS is a significant part of the online learning experience, with access to all lectures, announcements, and other course content.

It is to be mentioned here that the whole process of admission is online without the need for any entrance test or interview. It is made simple for students belonging to any origin or background to apply without the additional tension of exams or interview making. GLA University is willing to have a hassle-free procedure of admission based on your academic credentials and supporting papers and not strict entry hurdles. This methodology enables students to get started early and without delay and facilitates an easy onboarding into their MBA program.

The online application process of the MBA in Business analytics course of GLA University is simple, efficient, and clear. It enables students to apply remotely, upload their compulsory documents online, and begin their learning process without any inconvenience or prolonged processes. The hassle-free and time-effective process is designed to enable students to concentrate on learning for their future human resources management careers.

Evaluation System

Component Weightage Frequency Format
Coding Assignments 30% Monthly Python/R scripts
Case Studies 25% Bi-weekly Business problems
Term Projects 35% Semester-end End-to-end analysis
Quizzes 10% Weekly Concept checks

Semester-Wise Curriculum

Semester 1

Course Key Topics Tools Covered
Business Statistics Probability, Distributions Excel, SPSS
Data Management SQL Basics MySQL, MongoDB
Managerial Economics Demand Forecasting Tableau
Organizational Behavior Data-Driven Decision Making Case Studies
Marketing Analytics Customer Segmentation Google Analytics

Semester 2

Course Key Topics Tools Covered
Python for Analytics Pandas, NumPy Jupyter Notebook
Data Visualization Dashboard Creation Power BI, Tableau
Predictive Modeling Regression Analysis Python sci-kit learn
Operations Analytics Supply Chain Optimization AnyLogic
Financial Analytics Risk Assessment Excel Advanced

Semester 3

Course Key Topics Tools Covered
Machine Learning Classification Models Python ML libraries
Big Data Analytics Hadoop Ecosystem Spark, Hive
HR Analytics Attrition Prediction R, Python
Web Analytics Social Media Mining Google Tag Manager
Business Intelligence KPI Development Power BI Service

Semester 4

Course Key Topics Tools Covered
AI in Business NLP, Chatbots TensorFlow Basics
Cloud Analytics AWS/GCP Basics Google Cloud Platform
Capstone Project Live Business Problem Full Stack Implementation
Elective (Choose 1) Healthcare Analytics/Retail Analytics Domain-specific Tools

Placement Support

Top Recruiters:

  • Analytics: Fractal, Mu Sigma, Tiger Analytics
  • IT: TCS, Infosys, Wipro
  • E-commerce: Amazon, Flipkart
  • Consulting: Deloitte, PwC, EY

Career Services:

  • Resume workshops focusing on analytics skills
  • Mock technical interviews
  • Analytics hackathons
  • Corporate mentorship program

Career Prospects

Role Entry Salary 5-Year Growth Industry Demand
Business Analyst ₹5-9 LPA ₹12-20 LPA 35% Growth
Data Analyst ₹4-7 LPA ₹10-18 LPA 40% Growth
Analytics Manager ₹8-12 LPA ₹18-30 LPA 45% Growth
AI Solutions Architect ₹10-15 LPA ₹25-50 LPA 50% Growth

Industry Outlook (2025-2030)

  • $100 Billion Indian analytics market by 2026
  • 2.7 Million new analytics jobs by 2027
  • Emerging roles in:
    • AI Ethics Specialist
    • Quantum Analytics
    • Edge Computing Analytics

Student Testimonials

"The Python training helped me transition from operations to analytics at Amazon with a 2x salary."
- Rahul T., 2023 Batch

"Balanced my full-time job while completing this MBA - the weekend labs were perfect."
- Priya M., 2022 Batch

Frequently Asked Questions

Q: Is coding knowledge required?
A: No, we start with fundamentals and provide bridge courses.

Q: What hardware is needed?
A: Laptop or phone with stable internet sufficient for most tools.

Q: Any offline visit required?
A: No, 100% online including all exams and viva.

Q: Is placement support provided in online programs?

A:Yes,  every student will get placement support and placement assistance.

Key Differentiators

  •  Comprehensive Toolset covering entire analytics stack
  •  Industry-Validated Projects with real datasets
  •  Dual Mentorship (Academic + Corporate)
  •  Strong ROI with average 3x fee recovery in first year
  •  Alumni Network across top analytics firms

Conclusion

The most future-ready online MBA in Business Analytics with unmatched flexibility and industry relevance.

GLA University's Online MBA in Business Analytics is meant to equip professionals to work at the top levels in the data-driven business world. They will acquire skills to analyze complex datasets, interpret trends, predict outcomes, and inform strategic decisions, which are the most important skills required for high-level business analytics managers.For professionals targeting:

  • Analytics Leadership Roles
  • Data-Driven Decision Making
  • Consulting Careers

This course would be particularly useful to those students who hope to become Data Scientists or Business Intelligence Analysts. It provides a sound grounding in data mining, statistical modeling, machine learning, and data visualization. These are the skills that will be required by those who hope to work on extracting actionable insights from large datasets, building predictive models, or designing interactive dashboards for decision-makers. It also brings an understanding of the ethical considerations and regulatory frameworks in data analytics, providing students with a clear sense of how to approach complicated data privacy and compliance structures.

The MBA course offers working instruments with a practical focus for career professionals seeking to become Business Analytics Consultants to assess client's data requirements and formulate specific tailor-made analytical solutions. From the more short-term exercise of counseling a business to optimize marketing campaigns, right through to long-term strategic planning based on data insights, the students are exposed to a comprehensive perspective of data reports, performance metrics, and market trends. After graduating, they are highly demanded business consultants in various sectors, providing data-driven strategic advice.

The program is also perfect for aspiring entrepreneurs leveraging data. With the rise of data-driven innovation across all industries, entrepreneurs must be informed about analytical techniques as well as core business concepts. Through this course, learners are given details regarding big data technologies, cloud analytics platforms, AI applications, and data-driven product development. Students are equipped to create their own data-centric startups or work for established innovative companies that are transforming various business scenarios through intelligent data utilization.

It provides a solid base for corporate leadership positions focused on data-driven decision-making, equips students for highly competitive jobs in data science and business intelligence, develops skills for the business analytics consulting profession, and combines entrepreneurial theory in data-centric startups. The program equips professionals to remain competitive in an aggressive market, becoming more comprehensive experts with the ability to tackle sophisticated data complexities and drive business growth.

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